{"id":"W4410867520","doi":"10.1007/s40670-025-02421-9","title":"Using EEG to Assess Cognitive Fatigue in Real Time: A Medical Simulation Study","year":2025,"lang":"en","type":"article","venue":"Medical Science Educator","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary; University of Victoria; Island Health","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; Cognition; Psychology; Physical medicine and rehabilitation; Audiology; Cognitive psychology; Medicine; Applied psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001822147,0.0007431747,0.0005300521,0.0005020425,0.000394989,0.0005328894,0.0006602137,0.001249398,0.001664435],"category_scores_gemma":[0.005159464,0.0003081482,0.0005712925,0.0002793219,0.000574096,0.0005112172,0.00070815,0.0009653249,0.0005061496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004044132,"about_ca_system_score_gemma":0.0005800024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002515652,"about_ca_topic_score_gemma":0.002472093,"domain_scores_codex":[0.9992649,0.0004191311,0.00004906716,0.00008877437,0.00007548768,0.0001025803],"domain_scores_gemma":[0.9971916,0.001637772,0.000139487,0.000338162,0.0002732196,0.0004199205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.04874726,0.3371914,0.3010642,0.0006610358,0.001606535,0.003280496,0.01134796,0.09753767,0.08893627,0.001034909,0.002464607,0.1061276],"study_design_scores_gemma":[0.01110694,0.4309442,0.3158586,0.0001080098,0.0007144337,0.002374823,0.004803121,0.1950841,0.0330805,0.001374902,0.004203219,0.0003472809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987048,0.000007941743,0.0009313821,0.00002839652,0.000007344709,0.00009432578,0.00006233276,0.000006890949,0.0001565448],"genre_scores_gemma":[0.9977285,0.00003466666,0.001441458,0.00004078573,0.00001324253,0.0002950341,0.0001489168,0.000004396121,0.0002930493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002515652,"threshold_uncertainty_score":0.009636521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123227865779623,"score_gpt":0.4770880867913311,"score_spread":0.3647653002133687,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}